Supporting a Cloud Platform with Streams of Factory Shop Floor Data in the Context of the Intustry 4.0
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 786-791 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538648292 |
| DOIs | |
| Publication status | Published - 24 Sep 2018 |
| Publication type | A4 Article in a conference publication |
| Event | IEEE International Conference on Industrial Informatics - Porto, Portugal Duration: 18 Jul 2018 → 20 Jul 2018 |
Publication series
| Name | IEEE International Conference on Industrial Informatics |
|---|---|
| ISSN (Electronic) | 2378-363X |
Conference
| Conference | IEEE International Conference on Industrial Informatics |
|---|---|
| Country | Portugal |
| City | Porto |
| Period | 18/07/18 → 20/07/18 |
Abstract
Industry 4.0 is about the interconnectivity and digitalisation of industrial systems that need to be integrated in order to improve the efficiency of resources and, in turn, processes. Both research and commercial sectors are working towards addressing specific challenges, such as data modelling, collection and processing. A correct manipulation and interpretation of data is critical and, now, more difficult than ever due to the dramatic increment of the amount of data generated at different levels of enterprises. Ultimately, this research work presents a solution, integrated with an existing cloud-based platform, for collecting and processing real-time factory shop floor streams of data. Such solution is an IoT-based development, which consist on both IoT hub and gateway that permit the consumption and communication of device information. The required message exchange is done within state of the art technologies and protocols e.g., MQTT protocol and REST-based interface. The implementation of the solution is demonstrated through an industrial-based scenario.
ASJC Scopus subject areas
Keywords
- Cloud computing, Industrial Cyber-Physical Systems, Industrial Internet of Things, Industry 4.0, Real-time data collection